Category

Statistical data types

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stochastic process

mathematical object usually defined as a collection of random variables

set of data indexed in time order

level of measurement

classification that describes the nature of information within the numbers assigned to variables

longitudinal study

study with repeated observations over time

table which shows probability of death

observational study

study that draws inferences from a sample to a population, in cases where the independent variable is not under the control of the researcher because of ethical concerns or logistical constraints

categorical variable

variable where there is no ordering among the values

statistical variable

science and research term for a quality of a studied object

longitudinal statistical study in which one group of individuals are interviewed at intervals over a given period of time

Mark and recapture

ecological sampling method

concept in statistics

inter-rater reliability

measure of consensus in ratings given by multiple observers

cross-sectional data

type of data collected by observing many subjects at the same point of time, or without regard to differences in time

in statistics, engineering, medical research, and other technical disciplines, condition in which the value of a measurement or observation is only partially known

term for generated data

data whose unit can take on only two possible states, traditionally labeled as 0 and 1 in accordance with the binary numeral system and Boolean algebra.

probability theory

thumb|right|Francis Galton, one of the pioneers of historiometry Historiometry is the historical study of human progress or individual personal characteristics, using statistics to analyze references to geniuses, their statements, behavior and discoveries in relatively neutral texts. Historiometry combines techniques from cliometrics, which studies economic history and from psychometrics, the psychological study of an individual's personality and abilities.

directional statistics

subdiscipline of statistics

statistical data type

unit of observation

distinct unit from which data have been or will be gathered. Together, the unit of observation and the level of analysis help define the population of a research enterprise

ordinal variable

statistical data type

continuous or discrete variable

classification of quantitative statistical variables

wide and narrow data

two different methods for presenting tabular data

observable variable

variable that can be observed and directly measured

Compositional data

parts of a whole which carry only relative information